Teaching

INFO-I 590 is a hands-on, project-based course connecting visual perception and design principles to practical analysis in Python and JavaScript. Students moved from data preparation and exploratory charts through multidimensional data, maps, text and embedding views, network visualization, interaction, and web deployment. The semester culminated in a substantial real-world visualization project combining analytical reasoning, visual communication, and reproducible implementation.

INFO-I 513 is an applied introduction to AI for interdisciplinary problem solving. Through practical Python workflows, students studied data preparation, regression, classification, clustering, evaluation, feature selection, explainability, natural-language processing, text and graph embeddings, and responsible use of large language models. Assignments emphasized choosing methods that fit the problem, evaluating results critically, and communicating where an AI system is usable and where it is not.